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Bistatic MIMO (Multiple Input Multiple Output) radar tracking method based on chaotic multi-population symbiotic evolution

A radar tracking, bistatic technique, applied in the direction of reflection/reradiation of radio waves, utilization of reradiation, measuring devices, etc.

Active Publication Date: 2017-03-15
HARBIN ENG UNIV
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Problems solved by technology

[0006] Due to the impact noise environment, it is difficult for the classical intelligent calculation method to get rid of the constraints of the contradiction between the convergence speed and the convergence accuracy, and it is difficult to search for the optimal solution within a limited time under the existing calculation conditions, so it is necessary to design a new intelligent calculation method Method to solve the problem of robust dynamic direction tracking in the impact noise environment

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  • Bistatic MIMO (Multiple Input Multiple Output) radar tracking method based on chaotic multi-population symbiotic evolution
  • Bistatic MIMO (Multiple Input Multiple Output) radar tracking method based on chaotic multi-population symbiotic evolution
  • Bistatic MIMO (Multiple Input Multiple Output) radar tracking method based on chaotic multi-population symbiotic evolution

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Embodiment Construction

[0034] The present invention will be further described below in conjunction with the accompanying drawings.

[0035] The invention relates to a bistatic MIMO radar tracking method based on chaotic multi-population symbiotic evolution under impact noise. The implementation steps are as follows: obtain sampling data and fractional low-order covariance; initialize the search interval; use the chaotic reverse learning strategy to initialize the position and speed, and determine the optimal position according to the fitness; use the chaotic multi-population symbiotic evolution mechanism to update the speed; judge whether it is extinct : If it is extinct, randomly select half of the population and use the chaotic reverse learning strategy to randomly generate a new position, otherwise use the multi-population symbiotic evolution mechanism and reverse learning strategy to update the position; update the optimal position; judge whether the maximum number of iterations is reached: if no...

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Abstract

The invention relates to a bistatic MIMO (Multiple Input Multiple Output) radar tracking method based on chaotic multi-population symbiotic evolution. The bistatic MIMO radar tracking method comprises the steps of acquiring signal sampling data, and acquiring fractional low-order covariance; initializing a search interval; initializing the position and the speed of individuals by using a Sine chaotic reverse learning strategy, determining an optimal individual position of each population and the optimal individual position of the whole ecosystem according to a fitness value; updating the speed of individuals of each population in the ecosystem by using a Sine chaotic multi-population symbiotic evolution mechanism; judging whether all individuals in the ecosystem can search a better position or not after sigma times of iterations; judging whether a maximum number of iterations reaches or not; and updating a search interval of 2P angles. The bistatic MIMO radar tracking method not only can solve a problem of dynamic direction tracking of bistatic MIMO radar in a Gaussian noise environment, but also can solve a problem of dynamic direction tracking of the bistatic MIMO radar in an impact noise environment.

Description

technical field [0001] The invention relates to a bistatic MIMO radar tracking method based on chaotic multi-population symbiotic evolution. Background technique [0002] Multiple Input Multiple Output (MIMO) radar is a new system radar developed in the world in recent years. With the characteristics of good performance, strong anti-interference ability and strong anti-stealth ability, MIMO radar has become a hot spot in the international radar research field, and has broad development space and application prospects. Compared with the traditional phased array radar, MIMO radar can estimate the parameters of more targets, and in the presence of interference, MIMO radar can obtain better interference suppression performance. According to the configuration of the transmitting and receiving antennas, MIMO radar models can be divided into two categories: the first category is split MIMO radars, in which the elements of the transmitting array are sparsely arranged, that is, the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/68
CPCG01S13/68
Inventor 高洪元李佳杜亚男刁鸣梁炎松刘丹丹张晓桐
Owner HARBIN ENG UNIV
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